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Cash App
Data Analyst
9 days ago | 187 views | 1 applications

Data Analyst

Full-time
San Francisco
Per year
$79,000 To $84,000

About the company

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

Job Summary

You will:

📍Build a deep understanding of money movement at Cash App, enabling you to surface meaningful insights, inconsistencies, and opportunities to key stakeholders 📍Partner with Technical Product Managers to understand the impact of new and evolving products on financial reporting data 📍Lead investigations into data discrepancies and issues to ensure 📍Support our Accounting stakeholders with financial reporting and audit requirements

Qualifications

📍We value Data Analysts who: 📍Have 6+ years experience solving complex data problems 📍Are highly skilled at writing SQL to query relational databases, and developing ETL pipelines 📍Are able to prioritize and deliver work independently 📍Familiarity with accounting concepts or experience working in reconciliation is a plus 📍Are able to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences 📍Have a demonstrated track record of identifying, scoping and leading complex data projects with cross-functional partners and high business impact 📍Focus on defining and delivering incremental milestones to fail fast and iterate quickly 📍Are comfortable operating in roles which include reactive work

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